Machine Learning Solutions

Grow your business at the pace of technology giants


Having machines do complex, repetitive work previously pulled off only by humans is no longer wishful thinking. Thanks to machine learning developments, we can now reach formerly unfathomed levels of automation and data processing to obtain previously unseen information about our environment – all without the intrusion of our busy human brains. The current pace of digital disruption suggests that today the tech industry is experiencing the golden mean – companies are rapidly adopting machine learning, but the market still lacks competition.

Machine learning experts at AltexSoft will help you adopt state-of-the-art practices and elevate your product or service among your rivals. By leveraging complex statistical methods and expertise in a range of ML algorithms and models including Deep Learning, we develop end-to-end machine learning solutions for your particular business needs.

Our machine learning expertise

Computer Vision

Extract useful information from images and surroundings for face recognition, biometrics, transportation, AR, and other use cases with computer vision algorithms.

Customer analytics

Teach machines to understand text and speech as humans do, extract meaningful information, find topics in text documents, answer questions to automate customer service or build chatbots

Predictive Analytics

Glimpse into the future with the help of past and present data. Eliminate guesswork and learn how your organization, customers, or the whole industry will change in the future.

Recommender systems

Use the technology responsible for growing conversions in Netflix, Amazon, and Spotify. Provide your users with the most relevant content, deliver a personalized customer experience.

Time series forecasting

Find patterns in your historical data to predict trends and seasonal cycles. Forecast demand for your products, adjust your strategy or pricing, predict prices for competitors

Anomaly detection

Identify abnormal behavior to detect fraud, security issues, information breaches, medical problems, structural defects, and other malfunctions.

NLP (Natural Language Processing)

Analyze behavior, find data patterns, build a customer segmentation model to allow better targeting, personalization, and overall customer experience.

Our approach to building a machine learning solution:

1. Analyze your business needs and product requirements

As you recognize the need for implementing ML, we study your tasks, assume the solution, and plan the scope of work and development process.

2. Prepare and process data

During this lengthy but critical step, we analyze your data, visualize it for better understanding, potentially select a subset of the most useful data, and then preprocess and transform it to create a legitimate dataset. After that, we split the dataset into three sets of data: training, (cross)validation, and test sets. The first – to train a model and define its parameters. The second – to tweak the model’s settings and parameters to achieve the best results. And the third – to evaluate a real model’s performance to solve a task after training.

3. Feature engineering

After cleaning data and subtracting from it, we start adding to it in an essential data preparation process – feature engineering. The key element of spot-on model accuracy, feature engineering is about using domain knowledge to manually create new features in a raw dataset. This requires a deep understanding of a specific industry and the problem the model will help solve.

4. Model development

Here we will train a few models to decide which one gives the most accurate results. We experiment with many different types of models, feature selection, regularization and hyperparameters tuning until we get a well-trained model – neither underfit or overfit. For each experiment, we evaluate model accuracy using the appropriate metric for exactly this type of problem and dataset.

5. Deploy a model

The process of putting a model into production depends on your business infrastructure, the volume of data, the accuracy of all previous stages, and whether you’re using machine learning as a service product.

6. Review and update the model

The project continues even after the model is completed. We will help you track the metrics and apply testing to define your model’s performance over time and improve it when needed.


Take Our Client's Word for It

Mat Orrego

Mat Orrego,Co-Founder and CEO, Cornerstone Information Systems

I’ve had the pleasure of working with AltexSoft on various projects including both web and mobile applications development. They brought together great people, including excellent project and account management leadership. AltexSoft technical talent was fantastic and worked well with our scrum teams and helped us to deliver consistent results. They were always helpful and accommodating to our schedules and deadlines. I highly recommend AltexSoft for your next software development engagement.
Dean Fribence

Dean Fribence,CEO, Niftie

AltexSoft UX team has impressed me with their attention to how the business is supposed to work and how the user experience they suggest aligns with our strategic goals. Our communication started with elaborate interviews that synchronized our vision. Once it came to design, they delivered stellar results and always contributed their own expertise to the final product. I’m happy to work with AltexSoft and would recommend their UX team for challenging design and business analysis projects.
Marko Cadez

Marko Cadez,CEO at Fareboom - Best Travel Store company, United States

AltexSoft’s commitment to precision in the overall planning and execution of the full development cycle ensures sustainable application growth with minimum redesign requirements and typical time wasted on short term, throw away projects. I highly recommend AltexSoft to well informed and educated clients who appreciate and understand the benefits of a holistic approach to application design and development, resulting in minimum cost of development and ownership.
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